qcond_weibull

Conditional quantile function for weibull distribution

Toolkit to support and perform discrete event simulations without
resource constraints in the context of health technology assessments (HTA).
The package focuses on cost-effectiveness modelling and aims to be submission-ready
to relevant HTA bodies in alignment with 'NICE TSD 15'
<https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>.
More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.

Javier Sanchez Alvarez

WARDEN

Workflows for Health Technology Assessments in R using Discrete
EveNts

Gabriel Lemyre

Valerie Aponte Ribero

qcond_weibull function

<dl><dt>rnd</dt>
<dd>Vector of quantiles</dd>
<dt>shape</dt>
<dd>The shape parameter as in R stats package weibull</dd>
<dt>scale</dt>
<dd>The scale parameter as in R stats package weibull</dd>
<dt>lower_bound</dt>
<dd>The lower bound to be used (current time)</dd></dl>

Arguments

Conditional quantile function for weibull distribution — qcond_weibull

<dl>

<dt>rnd</dt>
<dd>Vector of quantiles</dd>


<dt>shape</dt>
<dd>The shape parameter as in R stats package weibull</dd>


<dt>scale</dt>
<dd>The scale parameter as in R stats package weibull</dd>


<dt>lower_bound</dt>
<dd>The lower bound to be used (current time)</dd>

</dl>

qcond_weibull: Conditional quantile function for weibull distribution

Description

Usage

Value

Arguments

Examples